75 citations · 81 across the 2 of their papers we have counts for
2 papers
cs.IR2022★ 75 cited
Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning
Yingqiang Ge, Xiaoting Zhao, Lucia Yu +4
The issue of fairness in recommendation is becoming increasingly essential as Recommender Systems touch and influence more and more people in their daily lives. In fairness-aware r…
cs.IR2018★ 6 cited
Learning Item-Interaction Embeddings for User Recommendations
Xiaoting Zhao, Raphael Louca, Diane Hu +1
Industry-scale recommendation systems have become a cornerstone of the e-commerce shopping experience. For Etsy, an online marketplace with over 50 million handmade and vintage ite…